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Introduction to the vacant position: The Biomedical Signal Processing and Interpretation Group (BIOSPIN) at the Institute for Bioengineering of Catalonia (IBEC) is looking for a Technical Support to Research
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Introduction to the vacant position: The Biomedical Signal Processing and Interpretation Group (BIOSPIN) at the Institute for Bioengineering of Catalonia (IBEC) is looking for a Technical Support to Research
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Introduction to the vacant position: The Biomedical Signal Processing and Interpretation Group (BIOSPIN) at the Institute for Bioengineering of Catalonia (IBEC) is looking for a Technical Support to Research
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analysis for nonstationary signals. 4. Unsupervised manifold learning for understanding intrinsic geometric structure in high-dimensional data. 5. Hands-on practice on real world biomedical signals
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in a subject relevant to biomedical science. Appointment will be at the first or second point on City St George’s Lecturer scale, depending on experience. For further information about this position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
undergraduates in both introductory and upper level courses including biomedical electronics bio instrumentation and signals and systems. Employment will be through the University of North Carolina at Chapel Hill
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imaging (MRI). The Computational Biomedical Imaging Group (CBIG) pursues research on the development of new algorithms for the reconstruction and post-processing of medical and biological images. Active
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a subject relevant to biomedical science. Appointment will be at the first or second point on City St George’s Lecturer scale, depending on experience. For further information about this position and
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in IRB protocol development and ongoing human subject documentation. Conduct electromyographic (EMG) recordings and signal processing to analyze motor control and performance. Interface with patients
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for the hospital & surgery center clinical areas, ambulatory clinics and practices device ecosystem, ensuring medical equipment used in point-of-care workflows is safe, functional, compliant, and